Giving meanings to WWW images

Shen, Heng Tao, Ooi, Beng Chin and Tan, Kian-Lee (2000). Giving meanings to WWW images. In: Shahram Ghandeharizadeh, Shih-Fu Chang, Stephen Fischer, Joseph A. Konstan and Klara Nahrstedt, Proceedings of the eighth ACM International Conference on Multimedia. The 8th ACM International Conference on Multimedia, Marina del Rey, California, United States, (39-47). 30 October - 3 November 2000. doi:10.1145/354384.376098


Author Shen, Heng Tao
Ooi, Beng Chin
Tan, Kian-Lee
Title of paper Giving meanings to WWW images
Conference name The 8th ACM International Conference on Multimedia
Conference location Marina del Rey, California, United States
Conference dates 30 October - 3 November 2000
Proceedings title Proceedings of the eighth ACM International Conference on Multimedia
Place of Publication New York, NY, USA
Publisher ACM
Publication Year 2000
Sub-type Fully published paper
DOI 10.1145/354384.376098
ISBN 1581131984
9781581131987
Editor Shahram Ghandeharizadeh
Shih-Fu Chang
Stephen Fischer
Joseph A. Konstan
Klara Nahrstedt
Start page 39
End page 47
Total pages 9
Language eng
Formatted Abstract/Summary
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which user can query. Interestingly, the semantics of these images are typically described by their surrounding text. Unfortunately, most WWW image search engines fail to exploit these image semantics and give rise to poor recall and precision performance. In this paper, we propose a novel image representation model called Weight ChainNet. Weight ChainNet is based on lexical chain that represents the semantics of an image from its nearby text. A new formula, called list space model, for computing semantic similarities is also introduced. To further improve the retrieval effectiveness, we also propose two relevance feedback mechanisms. We conducted an extensive performance study on a collection of 5000 images obtained from documents identified by more than 2000 URLs. Our results show that our models and methods outperform existing technique. Moreover, the relevant feedback mechanisms can lead to significantly better retrieval effectiveness.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown
Additional Notes Other Titles: International multimedia conference, MULTIMEDIA '00, Proceedings of the 8th ACM International Conference on Multimedia, 2000 Multimedia Conference, ACM Multimedia 2000

 
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Created: Tue, 16 Nov 2010, 15:23:30 EST by Dr Heng Tao Shen on behalf of School of Information Technol and Elec Engineering